Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Researchers use machine learning to distinguish between mental and neuromuscular fatigue in elite youth table tennis players through new data analysis method.

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...

“Your profile should not define you, nor should the app affect your self-esteem,” study author García Alamán advises.

The chain of the first 3 blocks can be organized in a parallel multi-channel structure that is followed by one or several aggregation blocks. The final decision about the class is made based on the ...

Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep Learning. Open Journal of Applied Sciences, 16, 779-797. doi: 10.4236/ojapps.2026.163048 .

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

The challenges of connecting molecular changes to tissue structure and highlights the potential of multifractal frameworks to quantify complex biological patterns ...

Motor imagery or imagined limb movements can power brain–computer interface (BCI) devices, such as prostheses and wheelchairs, supporting rehabilitation for people with neuromusculoskeletal disorders.

Scientists develop a blood test that detects Alzheimer’s by measuring protein structural changes rather than protein quantity.